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Automated lion optimization algorithm assisted Denoising approach with multiple filters

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Abstract

The usage of digital images is growing exponentially yet, it suffers from numerous quality degradations. There are so many reasons for image quality degradations such as camera resolution, lighting conditions, environmental conditions and so on. However, the quality of a digital image is mostly affected by ‘noise’, which may occur during image acquisition or transmission. Though there are several denoising approaches in the existing literature, most of the denoising works are meant for treating a single type of noise. This work presents a denoising approach, which considers different noises and are treated with multiple adaptive filters under the assistance of the Lion Optimization Algorithm (LOA). The performance of the proposed denoising approach is tested by varying the noise variance against existing approaches. The proposed approach shows better results in terms of PSNR, FSIM and FoM by consuming minimal time with 2149 ms, when compared to the existing approaches.

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Authors and Affiliations

  1. Research Scholar, Bharathiar University, Coimbatore, India

    J. Jayapal

  2. Department of Computer Science, School of Engineering and Technology, Pondicherry University, Pondicherry, India

    Ravi Subban

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  1. J. Jayapal
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  2. Ravi Subban
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Correspondence to J. Jayapal.

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Jayapal, J., Subban, R. Automated lion optimization algorithm assisted Denoising approach with multiple filters. Multimed Tools Appl 79, 4041–4056 (2020). https://doi.org/10.1007/s11042-019-07803-x

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  • DOI: https://doi.org/10.1007/s11042-019-07803-x

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